Clusteval logo ClustEval clustering evaluation framework

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Dataset Best quality Parameter set
brown 0.955 I=2.2225225225225227
chang_pathbased 0.47 I=9.207107107107106
ppi_mips 0.951 I=4.1913913913913925
chang_spiral 0.0 I=7.585685685685686
astral_40_strsim 0.857 I=4.85955955955956
astral_40_seqsim_beh 0.832 I=1.5632632632632633
fraenti_s3 0.0 I=8.066766766766767
bone_marrow_fixLabels 0.0 I=1.1
fu_flame 0.0 I=9.242742742742744
coli_state 0.0 I=8.654754754754755
coli_find 0.0 I=9.42982982982983
coli_need 0.0 I=1.108908908908909
coli_time 0.0 I=6.8284284284284285
gionis_aggregation 0.0 I=4.360660660660661
veenman_r15 0.0 I=6.872972972972973
zahn_compound 0.0 I=7.87077077077077
synthetic_spirals 0.0 I=8.432032032032032
synthetic_cassini 0.0 I=1.6523523523523527
twonorm_100d 0.0 I=2.16016016016016
twonorm_50d 0.0 I=2.3561561561561564
synthetic_cuboid 0.0 I=4.031031031031031
astral1_161 0.59 I=3.443043043043043
tcga 0.0 I=1.2870870870870872
bone_marrow 0.645 I=9.955455455455455
zachary 1.0 I=1.8483483483483483